Project Description

Goals

• Predict stock price changes based off of historical stock data and other outside data (i.e. Google Trends).
• The application should utilize a TensorFlow based neural network to output 3 possible changes to the stock (up, down, flat).
• The end goal would be an iOS application which could access the output of our neural network and display it.
• Secondly, the app could send tips as to when to buy or sell stocks (this assuming that the predictions are accurate).

User Functionality

• Users should be able to search for stocks based off of the company name.
• Users should be able to favorite certain stocks.
• Users should be able to receive notifications when favorited stocks pass certain threshholds.

Platform

• Web

Libraries

• React.js
• TensorFlow
• requests
• websocket-client
• corsheaders

API's

• Finnhub.io
• pytrends

Framework

• Django
• Django Rest Framework